Yes , sorry for that..I found it somewhere in the logs..the problem was that the program didn't die immediately but was somehow hanging and I discovered the source of the problem only running the program on a subset of the data.
Thnks for the support, Flavio On Wed, Apr 15, 2015 at 2:56 PM, Stephan Ewen <se...@apache.org> wrote: > This means that the TaskManager was lost. The JobManager can no longer > reach the TaskManager and consists all tasks executing ob the TaskManager > as failed. > > Have a look at the TaskManager log, it should describe why the TaskManager > failed. > Am 15.04.2015 14:45 schrieb "Flavio Pompermaier" <pomperma...@okkam.it>: > >> Hi to all, >> >> I have this strange error in my job and I don't know what's going on. >> What can I do? >> >> The full exception is: >> >> The slot in which the task was scheduled has been killed (probably loss >> of TaskManager). >> at org.apache.flink.runtime.instance.SimpleSlot.cancel(SimpleSlot.java:98) >> at >> org.apache.flink.runtime.jobmanager.scheduler.SlotSharingGroupAssignment.releaseSimpleSlot(SlotSharingGroupAssignment.java:335) >> at >> org.apache.flink.runtime.jobmanager.scheduler.SlotSharingGroupAssignment.releaseSharedSlot(SlotSharingGroupAssignment.java:319) >> at >> org.apache.flink.runtime.instance.SharedSlot.releaseSlot(SharedSlot.java:106) >> at org.apache.flink.runtime.instance.Instance.markDead(Instance.java:151) >> at >> org.apache.flink.runtime.instance.InstanceManager.unregisterTaskManager(InstanceManager.java:182) >> at >> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:435) >> at >> scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33) >> at >> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33) >> at >> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25) >> at >> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:37) >> at >> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:30) >> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118) >> at >> org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:30) >> at akka.actor.Actor$class.aroundReceive(Actor.scala:465) >> at >> org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:94) >> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) >> at akka.actor.ActorCell.invoke(ActorCell.scala:487) >> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254) >> at akka.dispatch.Mailbox.run(Mailbox.scala:221) >> at akka.dispatch.Mailbox.exec(Mailbox.scala:231) >> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) >> at >> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) >> at >> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) >> at >> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) >> >>
